SAS and R Assignments completed at Undergraduate Applied Statistics Program
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Updated
Sep 15, 2022
SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, enterprise app development, criminal investigation, and predictive analytics.
SAS and R Assignments completed at Undergraduate Applied Statistics Program
Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.
Upstream repository for a SAS Studio Custom Step to copy files between filesystem and the SAS Infrastructure Data Server (SAS Content)
Statistical Analysis for Student Exam Scores Using SAS Studio
Compilado de Códigos SAS para facilitar a vida de qualquer um.
Upstream Repository for the NLP - Categories Testing Framework SAS Studio Custom Step. Automated enhancement to SAS Viya Natural Language Processing model development process. To be submitted to /sassoftware/sas-studio-custom-steps as well. Refer README for more details.
Upstream repository for the Redirect Log SAS Studio Custom Step. A low-code component meant for use in SAS Viya to help redirect log and output of downstream programs to specified external files.
SAS Base Datamining examples
Repositório de Arquivos destinado a uso do SAS para criação de Mapa Coroplético
Create visualization analysis using SAS and Power BI. SAS is used to predict classification using several algorithms such as random forest, gradient boosting, and logistic regression. Power BI is used to display dashboards for descriptive analysis
Repositório de Arquivos destinado a uso do SAS para criação de Mapa Coroplético
A repository with our team's SAS Optimization Challenge project in BAIM master program at Krannert School of Management, Purdue University.
Masters Project: Logistic Regression Analysis, Comparing the Completion of Latent Tuberculosis Therapy of HIV-Coinfected Individuals and Other Chronic High Risk Groups
A report to analyse and quantify the effect of storm events in 2019 in the USA by using SAS and SQL code in combination with statistical methods.
WIP folder for SAS Studio Custom Step NLP - Extract Rule Configuration
Statistical Analysis for Bank Customer Data Using SAS Studio
Upstream repository for a SAS Studio Custom Step example of how to obtain parameters and carry out Azure's Document Intelligence Cloud Service operations
Created by Tony Barr, Jim Goodnight
Released January 1972